A new approach for Face Recognition Based on PCA & Double LDA Treatment combined with SVM
نویسندگان
چکیده
In this paper we propose a faces recognition system. This system does not directly reproduce human vision on machine, but it seeks to find algorithms to achieve similar results by identifying a person using 2D image of his face. The descriptors used for features extraction, combine two algorithms: Principal Component Analysis (PCA) and a double Linear Discriminate Analysis (LDA) treatment. We chose the Support Vector Machine as an output classifier. Our approach has ensured a satisfactory recognition rate and a gain in terms of memory.
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تاریخ انتشار 2012